Curriculum Vitae
Youngjae Cho
ML Research Scientist working on trustworthy & robust learning — alignment, robustness, and optimization geometry — and the production pipelines that put it to work.
Experience
2025.10 — present
ML Research Scientist
Pyler · alternative military service
- Winner — NVIDIA Nemotron Hackathon, Track B (Domain-Specialized Model), 2026
- Implemented SimPO (reference-free RLHF) on Megatron-Bridge for Nemotron-Nano-12B-VL — post-training the framework did not support
- First-author alignment research (GAPO) — geometry-aware preference optimization for LLMs
- Unified LLM benchmarking CLI + pluggable engine abstraction (vLLM / Hugging Face / synthetic CI fallback)
2024.03 — 2025.10
ML Research Scientist
Aiv Co.
- Diffusion-based defect synthesis pipeline for industrial anomaly detection (background-aware disentanglement)
- Made diffusion finetuning + inference fit a single-GPU budget with Flash-Attention + DeepSpeed (FP16)
- End-to-end OCR serving on Triton — ONNX→TensorRT, CUDA graphs, and test-time augmentation
Education
2022.03 — 2024.02
M.S., Industrial & Systems Engineering
KAIST · advised by Il-Chul Moon
ICML 2023 (SAAL) and AAAI 2024 (APP). Active learning, sharpness-aware optimization, Bayesian prompt adaptation.
2017.03 — 2022.02
B.S., Industrial & Systems Engineering
KAIST
Skills
Research & Modeling
PyTorchTensorFlowJAXHugging Face
Optimization & Inference
TensorRTONNXFlash AttentionDeepSpeedCUDA Graph
Serving
Triton Inference ServervLLMDocker
Domains
LLM AlignmentVision-LanguageActive LearningDiffusion / Anomaly Detection